公开(公告)号：US20220236335A1

公开(公告)日：2022-07-28

申请号：US17571599

申请日：2022-01-10

Applicant: JIANGSU UNIVERSITY

Inventor： Limei WANG ,  Sibing QIAO ,  Xiuliang ZHAO ,  Dong LU ,  Ruochen WANG ,  Ying XU ,  Ying ZHANG ,  Chaofeng PAN ,  Zhigang HE ,  Yingfeng CAI ,  Long CHEN

IPC: G01R31/392 ,  G01R31/374 ,  G01R31/36 ,  G01R31/388

Abstract: A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer. Further, when the Solid Electrolyte Interface film resistance affected by the aging and temperature coupling conforms to a linear relationship as a whole, the embedded decoupling can be realized by establishing the relation function between the linear relationship coefficient and temperature.

公开(公告)号：US20220146591A1

公开(公告)日：2022-05-12

申请号：US17603599

申请日：2021-01-05

Applicant: JIANGSU UNIVERSITY

Inventor： Limei WANG ,  Dong LU ,  Xiuliang ZHAO ,  Sibing QIAO ,  Ying XU ,  Chaofeng PAN

IPC: G01R31/392 ,  G01R31/36

Abstract: An on-line State of Health estimation method of a battery in a wide temperature range based on “standardized temperature” includes: calculating battery Incremental Capacity curve of a battery, establishing a quantitative relationship between the voltage shift of the temperature-sensitive feature point and the temperature of a standard battery, standardized transformation of Incremental Capacity curves at different temperatures, establishing a quantitative relationship between the transformed height of the capacity-sensitive feature point and the State of Health based on a BOX-COX transformation. The BOX-COX transformation is expressed as y k ( λ ) = { y k λ - 1 λ λ ≠ 0 ln ⁢ ⁢ y k λ = 0 . An maximum likelihood function is used to calculate the optimal λ, and the transformed height of the capacity-sensitive feature point y can be acquired. The quantitative relationship between transformed height of the capacity-sensitive feature point and the State of Health is established to obtain the State of Health.